Xiaohui Lin
Shenzhen, China
Last Updated: 09/26/2026
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Found 9 publications
Reducing unnecessary biopsies of BI-RADS 4 lesions based on a deep learning model for mammography.
Journal: Frontiers in oncology
Published: December 11, 2024
Mucinous carcinoma in a male breast with skin ulcer: a case report.
Journal: Frontiers in oncology
Published: November 02, 2024
Comparison of two visual localization biopsy methods for suspicious breast lesions under mammography: a multicenter cohort study.
Journal: Quantitative imaging in medicine and surgery
Published: September 30, 2024
High-risk breast lesions: a combined intratumoral and peritumoral radiomics nomogram model to predict pathologic upgrade and reduce unnecessary surgical excision.
Journal: Frontiers in oncology
Published: August 12, 2024
Value of deep learning model for predicting Breast Imaging Reporting and Data System 3 and 4A lesions on mammography.
Journal: Quantitative imaging in medicine and surgery
Published: July 26, 2024
Novel study on the prediction of BI-RADS 4A positive lesions in mammography using deep learning technology and clinical factors.
Journal: Quantitative imaging in medicine and surgery
Published: May 29, 2024
Clinical application of convolutional neural network for mass analysis on mammograms.
Journal: Quantitative imaging in medicine and surgery
Published: May 10, 2023
Misdiagnosis of breast cancer after augmentation injection of stromal vascular fraction gel: a case description.
Journal: Quantitative imaging in medicine and surgery
Published: February 19, 2022
MommiNet-v2: Mammographic multi-view mass identification networks.
Journal: Medical image analysis
Published: December 25, 2020
Showing 1-9 of 9
Last Updated: 09/26/2026